Jon Lømo

1.4k total citations
38 papers, 1.1k citations indexed

About

Jon Lømo is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Jon Lømo has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Oncology and 10 papers in Cancer Research. Recurrent topics in Jon Lømo's work include Breast Lesions and Carcinomas (6 papers), Retinoids in leukemia and cellular processes (5 papers) and Breast Cancer Treatment Studies (5 papers). Jon Lømo is often cited by papers focused on Breast Lesions and Carcinomas (6 papers), Retinoids in leukemia and cellular processes (5 papers) and Breast Cancer Treatment Studies (5 papers). Jon Lømo collaborates with scholars based in Norway, United States and Denmark. Jon Lømo's co-authors include Heidi Kiil Blomhoff, Erlend B. Smeland, Klaus Beiske, Trond Stokke, John C. Reed, S Krajewski, Øystein Garred, Sten Eirik W. Jacobsen, Ragnhild E. Paulsen and Stanisław Krajewski and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Jon Lømo

36 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jon Lømo Norway 19 481 319 266 224 213 38 1.1k
Kyosuke Yamada Japan 16 589 1.2× 355 1.1× 240 0.9× 218 1.0× 133 0.6× 52 1.6k
Parker C. Wilson United States 17 919 1.9× 125 0.4× 271 1.0× 182 0.8× 202 0.9× 35 1.7k
Antonia Gounaris Greece 16 293 0.6× 190 0.6× 158 0.6× 195 0.9× 94 0.4× 35 838
David G. Cox United States 28 1.2k 2.6× 517 1.6× 149 0.6× 634 2.8× 248 1.2× 69 2.3k
Vassiliki Tzelepi Greece 23 733 1.5× 417 1.3× 129 0.5× 387 1.7× 676 3.2× 73 1.7k
Vassiliki Zolota Greece 20 448 0.9× 294 0.9× 108 0.4× 153 0.7× 168 0.8× 58 1.1k
Francesca Galuppini Italy 23 509 1.1× 362 1.1× 95 0.4× 387 1.7× 207 1.0× 71 1.4k
Graham M. Poage United States 14 830 1.7× 887 2.8× 234 0.9× 655 2.9× 375 1.8× 23 1.8k

Countries citing papers authored by Jon Lømo

Since Specialization
Citations

This map shows the geographic impact of Jon Lømo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jon Lømo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Lømo more than expected).

Fields of papers citing papers by Jon Lømo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon Lømo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jon Lømo. The network helps show where Jon Lømo may publish in the future.

Co-authorship network of co-authors of Jon Lømo

This figure shows the co-authorship network connecting the top 25 collaborators of Jon Lømo. A scholar is included among the top collaborators of Jon Lømo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jon Lømo. Jon Lømo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tekpli, Xavier, Ole Christian Lingjærde, Hege G. Russnes, et al.. (2025). High tumor expression of CTLA4 identifies lymph node-negative basal-like breast cancer patients with excellent prognosis. Communications Medicine. 5(1). 234–234.
2.
Borgen, Elin, Cecilie Bendigtsen Schirmer, Bjørnar Gilje, et al.. (2024). Circulating tumor cells in metastatic breast cancer patients treated with immune checkpoint inhibitors – a biomarker analysis of the ALICE and ICON trials. Molecular Oncology. 19(7). 2092–2108. 9 indexed citations
3.
Gilje, Bjørnar, Erik Jakobsen, Sunil Xavier Raj, et al.. (2022). Atezolizumab plus anthracycline-based chemotherapy in metastatic triple-negative breast cancer: the randomized, double-blind phase 2b ALICE trial. Nature Medicine. 28(12). 2573–2583. 51 indexed citations
4.
Flote, Vidar G., Gro F. Bertheussen, Helle Kristine Skjerven, et al.. (2022). Normal and unusual days for dietary intake during the 12 months after a breast cancer diagnosis in women. European Journal of Nutrition. 61(8). 3873–3885.
5.
Mäyränpää, Mikko I., Swapnil Potdar, Jie Bao, et al.. (2021). Functional diagnostics using fresh uncultured lung tumor cells to guide personalized treatments. Cell Reports Medicine. 2(8). 100373–100373. 3 indexed citations
6.
Thune, Inger, Gro F. Bertheussen, Vidar G. Flote, et al.. (2020). Dietary changes in early-stage breast cancer patients from pre-surgery and over the 12 months post-surgery. British Journal Of Nutrition. 125(2). 172–182. 7 indexed citations
7.
Hofvind, Solveig, Tone Hovda, Åsne Sørlien Holen, et al.. (2018). Digital Breast Tomosynthesis and Synthetic 2D Mammography versus Digital Mammography: Evaluation in a Population-based Screening Program. Radiology. 287(3). 787–794. 100 indexed citations
8.
Flote, Vidar G., Riyas Vettukattil, Tone F. Bathen, et al.. (2016). Lipoprotein subfractions by nuclear magnetic resonance are associated with tumor characteristics in breast cancer. Lipids in Health and Disease. 15(1). 56–56. 29 indexed citations
9.
Paulsen, Ragnhild E., Jan Mæhlen, Else Marit Løberg, et al.. (2011). Glucocorticoids dexamethasone and hydrocortisone inhibit proliferation and accelerate maturation of chicken cerebellar granule neurons. Brain Research. 1418. 32–41. 20 indexed citations
10.
Mathisen, Gro Haarklou, et al.. (2010). Transfection of chicken cerebellar granule neurons used to study glucocorticoid receptor regulation by nuclear receptor 4A (NR4A). Journal of Neuroscience Methods. 193(1). 39–46. 6 indexed citations
11.
12.
Mathisen, Gro Haarklou, et al.. (2006). Chicken cerebellar granule neurons rapidly develop excitotoxicity in culture. Journal of Neuroscience Methods. 156(1-2). 129–135. 20 indexed citations
13.
Sauer, Torill, Jon Lømo, Øystein Garred, & Oddvar Næss. (2004). Cytologic features of ductal carcinoma in situ in fine-needle aspiration of the breast mirror the histopathologic growth pattern heterogeneity and grading. Cancer. 105(1). 21–27. 11 indexed citations
15.
Josefsen, Dag, Heidi Kiil Blomhoff, Jon Lømo, Anne Kirsti Blystad, & Erlend B. Smeland. (1999). Retinoic acid induces apoptosis of human CD34+ hematopoietic progenitor cells. Experimental Hematology. 27(4). 642–653. 14 indexed citations
16.
Lømo, Jon, Erlend B. Smeland, Stine M. Ulven, et al.. (1998). RAR-, not RXR, ligands inhibit cell activation and prevent apoptosis in B-lymphocytes. Journal of Cellular Physiology. 175(1). 68–77. 44 indexed citations
17.
Myhrstad, Mari C. W., et al.. (1998). Multiplication and death-type of leukemia cell lines exposed to very long-chain polyunsaturated fatty acids. Leukemia. 12(6). 921–929. 83 indexed citations
18.
Blomhoff, Heidi Kiil, et al.. (1997). Involvement of ICE (Caspase) Family in γ‐Radiation‐Induced Apoptosis of Normal B Lymphocytes. Scandinavian Journal of Immunology. 46(6). 601–608. 22 indexed citations
20.
Lømo, Jon, Harald Holte, Catharina de Lange Davies, et al.. (1987). Downregulation of c-myc RNA is not a prerequisite for reduced cell proliferation, but is associated with G1 arrest in B-lymphoid cell lines. Experimental Cell Research. 172(1). 84–91. 15 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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